mirror of
https://github.com/allenai/olmocr.git
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95 lines
3.5 KiB
Python
95 lines
3.5 KiB
Python
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from jinja2 import Template
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import random
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import os
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import subprocess
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import tempfile
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import boto3
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import base64
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import io
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from urllib.parse import urlparse
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from PIL import Image
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from tqdm import tqdm
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session = boto3.Session(profile_name='s2')
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s3_client = session.client('s3')
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def render_pdf_to_base64png(s3_path, page):
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with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as tmp_pdf:
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pdf_path = tmp_pdf.name
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bucket, key = s3_path.replace("s3://", "").split('/', 1)
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s3_client.download_file(bucket, key, pdf_path)
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# Render the PDF to an image, and display it in the first position
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pdftoppm_result = subprocess.run(
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["pdftoppm",
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"-png",
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"-f", str(page),
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"-l", str(page),
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pdf_path],
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timeout=120,
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stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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assert pdftoppm_result.returncode == 0, pdftoppm_result.stderr
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png_image = Image.open(io.BytesIO(pdftoppm_result.stdout))
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webp_output = io.BytesIO()
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png_image.save(webp_output, format="WEBP")
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image_base64 = base64.b64encode(webp_output.getvalue()).decode("utf-8")
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return image_base64
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def create_review_html(data, filename="review_page.html"):
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# Load the Jinja2 template from the file
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with open(os.path.join(os.path.dirname(__file__), "evalhtml_template.html"), "r") as f:
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template = Template(f.read())
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entries = []
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for i, entry in tqdm(enumerate(data)):
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# Randomly decide whether to display gold on the left or right
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if random.choice([True, False]):
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left_text, right_text = entry["gold_text"], entry["eval_text"]
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left_alignment, right_alignment = entry["alignment"], entry["alignment"]
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left_class, right_class = "gold", "eval"
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else:
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left_text, right_text = entry["eval_text"], entry["gold_text"]
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left_alignment, right_alignment = entry["alignment"], entry["alignment"]
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left_class, right_class = "eval", "gold"
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# Convert newlines to <p> tags for proper formatting
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left_text = "<p>" + left_text.replace("\n", "</p><p>") + "</p>"
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right_text = "<p>" + right_text.replace("\n", "</p><p>") + "</p>"
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parsed_url = urlparse(entry["s3_path"])
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bucket = parsed_url.netloc
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s3_key = parsed_url.path.lstrip('/')
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signed_pdf_link = s3_client.generate_presigned_url("get_object", Params={"Bucket": bucket, "Key": s3_key}, ExpiresIn=604800)
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# Create a dictionary for each entry
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entries.append({
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"entry_id": i,
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"page_image": render_pdf_to_base64png(entry["s3_path"], entry["page"]),
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"s3_path": entry["s3_path"],
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"page": entry["page"],
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"signed_pdf_link": signed_pdf_link,
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"left_text": left_text,
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"right_text": right_text,
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"left_alignment": left_alignment,
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"right_alignment": right_alignment,
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"left_class": left_class,
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"right_class": right_class,
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"gold_class": "gold" if left_class == "gold" else "eval",
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"eval_class": "eval" if right_class == "eval" else "gold"
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})
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# Render the template with the entries
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final_html = template.render(entries=entries)
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# Write the HTML content to the specified file
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with open(filename, "w") as f:
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f.write(final_html)
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print(f"HTML file '{filename}' created successfully!")
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